PANDAExpress: A Simpler and Faster PANDA Algorithm
Summary: PANDAExpress removes PANDA’s prohibitive polylog(N) overhead while retaining support for conjunctive queries, disjunctive Datalog, and arbitrary degree constraints. A new output bound enables skew-aware arbitrary-hyperplane partitioning, achieving ~O(N^subw) and extending to ℓp constraints. (summarized by gpt-5.6-luna on Jul 26 2026)
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Authors
- 1. Mahmoud Abo Khamis (RelationalAI)
- 2. Hung Q. Ngo (RelationalAI)
- 3. Dan Suciu (University of Washington)
BibTeX Citation
@inproceedings{khamis_pods26,
address = {New York, NY, USA},
series = {{PODS} '26},
title = {{PANDAExpress: A Simpler and Faster PANDA Algorithm}},
url = {https://dl.acm.org/doi/10.1145/3801910},
doi = {10.1145/3801910},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Khamis, Mahmoud Abo and Ngo, Hung Q. and Suciu, Dan},
year = {2026}
}
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